Modern deep learning methods may be able to improve interpretation accuracy. Until recently, the use of such techniques for 12-lead ECGs has been impractical due to the shortage of labelled training data. There remains room for improvement over initial promising results [1]}. The public release of a new large labelled data set presents a fresh opportunity to revisit this challenging problem [2]}.
